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64 lines
1.7 KiB
XML
64 lines
1.7 KiB
XML
<tool id="mergeCols1" name="Merge Columns" version="1.0.1">
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<description>together</description>
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<command interpreter="python">
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mergeCols.py
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$input1
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$out_file1
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$col1
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$col2
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#for $col in $columns
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${col.datacol}
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#end for
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</command>
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<inputs>
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<param format="tabular" name="input1" type="data" label="Select data" help="Dataset missing? See TIP below."/>
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<param name="col1" label="Merge column" type="data_column" data_ref="input1" />
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<param name="col2" label="with column" type="data_column" data_ref="input1" help="Need to add more columns? Use controls below."/>
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<repeat name="columns" title="Columns">
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<param name="datacol" label="Add column" type="data_column" data_ref="input1" />
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</repeat>
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</inputs>
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<outputs>
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<data format="tabular" name="out_file1" />
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</outputs>
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<tests>
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<test>
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<param name="input1" value="1.bed"/>
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<param name="col1" value="4" />
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<param name="col2" value="1" />
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<param name="datacol" value="6" />
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<output name="out_file1" file="mergeCols.dat"/>
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</test>
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</tests>
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<help>
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.. class:: infomark
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**TIP:** If your data is not TAB delimited, use *Text Manipulation->Convert*
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-----
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**What it does**
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This tool merges columns together. Any number of valid columns can be merged in any order.
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-----
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**Example**
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Input dataset (five columns: c1, c2, c3, c4, and c5)::
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1 10 1000 gene1 chr
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2 100 1500 gene2 chr
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merging columns "**c5,c1**" will return::
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1 10 1000 gene1 chr chr1
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2 100 1500 gene2 chr chr2
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.. class:: warningmark
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Note that all original columns are preserved and the result of merge is added as the rightmost column.
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</help>
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</tool>
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